activity
20222026
most citedMotion-adaptive Separable Collaborative Filters for Blind Motion Deblurring

2 citations · 4 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2026

Enhancing Conversational Agents via Task-Oriented Adversarial Memory Adaptation

Yimin Deng, Yuqing Fu, Derong Xu +10

Conversational agents struggle to handle long conversations due to context window limitations. Therefore, memory systems are developed to leverage essential historical information.…

cs.CV2025

DeRA: Decoupled Representation Alignment for Video Tokenization

Pengbo Guo, Junke Wang, Zhen Xing +4

This paper presents DeRA, a novel 1D video tokenizer that decouples the spatial-temporal representation learning in video tokenization to achieve better training efficiency and per…

cs.CV2025

Exploring Spectral Characteristics for Single Image Reflection Removal

Pengbo Guo, Chengxu Liu, Guoshuai Zhao +3

Eliminating reflections caused by incident light interacting with reflective medium remains an ill-posed problem in the image restoration area. The primary challenge arises from th…

cs.CV2025

Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model

Chengxu Liu, Lu Qi, Jinshan Pan +2

Since acquiring large amounts of realistic blurry-sharp image pairs is difficult and expensive, learning blind image deblurring from unpaired data is a more practical and promising…

cs.CV2025

Frequency Domain-Based Diffusion Model for Unpaired Image Dehazing

Chengxu Liu, Lu Qi, Jinshan Pan +2

Unpaired image dehazing has attracted increasing attention due to its flexible data requirements during model training. Dominant methods based on contrastive learning not only intr…

cs.CV2025

Learning Attribute-aware Representations for Few-shot Scene Text Segmentation

Yifan Tang, Chenming Li, Chengxu Liu +7

Supervised scene text segmentation has achieved notable progress in recent years. However, its development is largely constrained by the scarcity of high-quality datasets and the h…

cs.CV2024

QueryCDR: Query-Based Controllable Distortion Rectification Network for Fisheye Images

Pengbo Guo, Chengxu Liu, Xingsong Hou +1

Fisheye image rectification aims to correct distortions in images taken with fisheye cameras. Although current models show promising results on images with a similar degree of dist…

cs.CV2024

AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution

Yuanting Fan, Chengxu Liu, Nengzhong Yin +2

Diffusion models (DMs) have shown promising results on single-image super-resolution and other image-to-image translation tasks. Benefiting from more computational resources and lo…

eess.IV2024★ 2 cited

Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring

Chengxu Liu, Xuan Wang, Xiangyu Xu +4

Eliminating image blur produced by various kinds of motion has been a challenging problem. Dominant approaches rely heavily on model capacity to remove blurring by reconstructing r…

cs.CV2024★ 1 cited

Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera

Chengxu Liu, Xuan Wang, Yuanting Fan +2

Under-display camera (UDC) systems are the foundation of full-screen display devices in which the lens mounts under the display. The pixel array of light-emitting diodes used for d…

cs.CV2022★ 1 cited

TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation

Chengxu Liu, Huan Yang, Jianlong Fu +1

Video frame interpolation (VFI) aims to synthesize an intermediate frame between two consecutive frames. State-of-the-art approaches usually adopt a two-step solution, which includ…